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Main Industry
Artificial Intelligence (AI)
Main Product/Service
AP2C (Advanced Precise Process Control).
GoEdge.ai Inc. is a Causal AI company.
Our tools are AI systems with pre-trained modeling.
Our application domain is smart manufacturing (for semiconductors).
(The content above was translated by AI.)
Founded Year
2021
Unified Business No.
90733096
Status
Active
Number of Employees
15
Total Paid-in Capital
13,400,000 (NT$)
Location of Company
Taiwan , Hsinchu City
Information such as company name, company status, responsible person, year of establishment, paid-in capital, and registered address is sourced from the Commercial and Industrial Registration Office of the Ministry of Economic Affairs; listing status includes emerging stock, M&A, and IPO; overseas development is provided by the startup itself. Notice: This data is compiled from public sources for reference only. We have no direct affiliation with the company and are not their contact person.
About the Company
GoEdge.ai Inc. was established in 2021. Formerly known as the Artificial Intelligence System Testing Center of National Yang Ming Chiao Tung University, and funded by the Value Creation Program, the company has transformed over 20 years of academic and industrial research achievements into a startup to serve the high-tech manufacturing industry. The technical team members of GoEdge.ai Inc. all hold master's and doctoral degrees from top domestic and international universities, consisting of specialists in the fields of mathematics, information science, and reliability engineering. They develop software and system services for smart manufacturing applications, utilizing professional technology, R&D, and high-level system integration to solve specific customer problems. Instead of starting from scratch, the company provides development integrated with AI algorithms and customized plug-ins. Our services can be effectively utilized in product or manufacturing process optimization, assisting enterprises in achieving prediction, diagnosis, and decision-making processes through the analysis of historical data.
(The content above was translated by AI.)



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